基于目标回波特征信息的改进型概率数据互联算法  

An Improved Probabilistic Data Association Algorithm Based on Target Echo Signature Information

作　　者：党腾飞 牟聪[1] 高一栋[1] DANG Tengfei;MOU Cong;GAO Yidong(Xi'an Electronic Engineering Research Institute, Xi'an 710100)

机构地区：[1]西安电子工程研究所,西安710100

出　　处：《火控雷达技术》2020年第3期51-53,62,共4页Fire Control Radar Technology

摘　　要：概率数据互联算法(PDA)中量测的条件概率计算过于繁琐,其前提是波门中的虚假量测个数服从泊松分布,该参数的估计直接关系到互联算法的计算。如果该参数估计与实际情况相差较大,滤波误差将很大。另外,PDA算法没有考虑目标机动的情形。本文将PDA算法中量测的条件概率计算简化,并且将目标回波特征信息融入算法,在以往跟踪波门基础上增加了机动波门,当目标发生机动时,有较好的跟踪效果。The conditional probability calculation of measurements in the probabilistic data association(PDA)algorithm is too cumbersome.One premise of the PDA algorithm is that the number of false measurements in the gate conforms to the Poisson distribution.If there is a large difference between estimation of this parameter and its actual value,very large filtering error would be generated.In addition,the PDA algorithm is not suitable for maneuvering targets.In this paper,the PDA algorithm is improved by simplifying the conditional probability calculation of measurements and integrating the target echo signature information into the algorithm.In addition,a maneuver gate is added around the traditional tracking gate so that the improved algorithm has better tracking performance against maneuvering targets.

关 键 词：概率数据互联算法 回波特征信息 目标机动 机动波门 

分 类 号：TN957.51[电子电信—信号与信息处理]